【kafka】可视化工具cmak（原kafka-manager）安装问题解决

众所周知（反正不管你知不知道），kafka-maneger更名了，现在叫cmak！原因是什么呢？据不可靠小道信息说，原kafka-manager这个名字涉及到kafka商标使用问题，应该是被律师函警告了，所以就换名了～

1.下载地址：

https://github.com/yahoo/CMAK 

下载后，解压后如上图

注：本次下载最新版本包，之前的老版本下载后还需要自己编译代码然后再部署使用，新版不用，根本不用！

2.解压缩后，将解压包放到合适的位置，然后修开配置文件application.conf

修改如下， 红框中的改成自己的集群地址就OK了，如果是本机部署，直接写本机ip

注：kafka-manager.zkhosts后续会废弃掉，可以注释掉，只保留cmak.zkhosts配置

 3.启动cmak

进入目录cmak-3.0.0.6/bin下sh cmak

启动成功

 

4.进入平台

地址：http://172.30.19.168:9000/

5. 添加add clusters

参数添加：

然后保存就行了

保存完就可以看到下图，红框的内容，第一次部署是没有红框内容的，只有添加完clusters才会出现

6.愉快的使用

7.启动日志报错：Failed to get broker metrics for BrokerIdentity(0,localhost,-1,false,true,Map(PLAINTEXT -> 9092))

如果报错会影响Mwtrics模块没数据

报错信息： 

2024-07-02 19:38:12,373 - [ERROR] - from kafka.manager.actor.cluster.BrokerViewCacheActor in kafka-manager-system-akka.actor.default-dispatcher-8 
Failed to get broker metrics for BrokerIdentity(0,localhost,-1,false,true,Map(PLAINTEXT -> 9092))
java.lang.IllegalArgumentException: requirement failed: No jmx port but jmx polling enabled!at scala.Predef$.require(Predef.scala:281)at kafka.manager.jmx.KafkaJMX$.doWithConnection(KafkaJMX.scala:39)at kafka.manager.actor.cluster.BrokerViewCacheActor.$anonfun$updateBrokerMetrics$3(BrokerViewCacheActor.scala:359)at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)at scala.util.Success.$anonfun$map$1(Try.scala:255)at scala.util.Success.map(Try.scala:213)at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)at java.base/java.lang.Thread.run(Thread.java:834)2024-07-02 19:38:12,373 - [ERROR] - from kafka.manager.actor.cluster.BrokerViewCacheActor in kafka-manager-system-akka.actor.default-dispatcher-8 
Failed to get broker topic segment metrics for BrokerIdentity(0,localhost,-1,false,true,Map(PLAINTEXT -> 9092))
java.lang.IllegalArgumentException: requirement failed: No jmx port but jmx polling enabled!at scala.Predef$.require(Predef.scala:281)at kafka.manager.jmx.KafkaJMX$.doWithConnection(KafkaJMX.scala:39)at kafka.manager.actor.cluster.BrokerViewCacheActor.$anonfun$updateBrokerTopicPartitionsSize$3(BrokerViewCacheActor.scala:383)at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)at scala.util.Success.$anonfun$map$1(Try.scala:255)at scala.util.Success.map(Try.scala:213)at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)

8.解决方案

在kafka-server-start.sh中开头添加一行代码，然后重启kafka，报错解决了

export JMX_PORT="9999"

kafka-server-start.sh 路径：../kafka/3.7.0/libexec/bin

如果忘记kafka安装路径，可以通过以下方式：

1.通过whereis kafka-server-start 命令找到命令目录

2.cd 路径，如：cd /opt/homebrew/bin/

3.在/opt/homebrew/bin/目录找到kafka-server-start

4.cd ../Cellar/kafka/3.7.0/bin/ 然后找到kafka-server-start

5.cat kafka-server-start 查看命令的执行位置,我们会发现实际执行是：

/opt/homebrew/Cellar/kafka/3.7.0/libexec/bin/kafka-server-start.sh

6.vim /opt/homebrew/Cellar/kafka/3.7.0/libexec/bin/kafka-server-start.sh 然后添加export JMX_PORT="9999"